112 linked-data-"https:"-"https:"-"https:" positions at Fred Hutchinson Cancer Center
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training in computational research techniques while also learning to assist their mentor with analyzing and interpreting data to support ongoing research projects. The internship is part-time and requires a
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procedures and PET-CT procedures according to department procedure manual and physician orders. Responsibilities Information Processing & Image Review Manages electronic data, processes information
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to volunteer, customer and patient needs. Comfort working with patients in various stages of treatment. Ability to accurately and efficiently enter data into various platforms (Microsoft office suite and
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the National Cancer Institute. The Publications Coordinator is a member of the SWOG Cancer Research Network Statistics and Data Management Center (SDMC) team, in the Public Health Sciences Division. The primary
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, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks). Additional Information We are proud to be an Equal
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Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed
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required dependent upon the department. Critical thinking: the ability to practice the cognitive skills of analyzing, applying standards, discriminating, information seeking, logical reasoning, predicting
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Bioinformatician provides specialized consulting and data analysis support to researchers
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certification may be required dependent upon department. Critical thinking; the ability to practice the cognitive skills of analyzing, applying standards, discriminating, information seeking, logical reasoning
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providers, as well as other Fred Hutch departments. The PCC role uses critical thinking skills to facilitate and operationalize complex scheduling requests through heavy use of multiple computer systems